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Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups

Sai Krishna, Andrey Kiselev, Amy Loutfi

Year
2017
Citations
2

Abstract

In this paper, we extend an algorithm to detect constraint based F-formations for a telepresence robot and also consider the situation when the robot is in motion. The proposed algorithm is computationally inexpensive, uses an egocentric (first-person) vision, low memory, low quality vision settings and also works in real time which is explicitly designed for a mobile robot. The proposed approach is a first step advancing in the direction of automatically detecting F-formations for the robotics community.

Keywords

Join (topology)RobotConstraint (computer-aided design)Computer scienceMotion (physics)Artificial intelligenceDistributed computingEngineeringMathematicsCombinatorics

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